def __del__(self):
Levenshtein_search.clear_wordset(self.index_key)
def __del__(self):
Levenshtein_search.clear_wordset(self.index_key)
def unindex(self, doc):
del self._doc_to_id[doc]
Levenshtein_search.clear_wordset(self.index_key)
self.index_key = Levenshtein_search.populate_wordset(
-1, list(self._doc_to_id))
def test_clear(self):
index = Levenshtein_search.populate_wordset(-1, self.excerpt1)
Levenshtein_search.clear_wordset(index)
import Levenshtein_search
conn = psycopg2.connect("host='127.0.0.1' port='5432' dbname='benchmark' user='******' password=''")
cur = conn.cursor()
cur.execute("set schema 'public';")
query_word = "\"philippe the original\""
max_dist = 2
sqlquery = "select name from restaurant_nophone_training where levenshtein_less_equal(name, '" + query_word + "', " + str(max_dist) + ") <= " + str(max_dist) + ";"
print(sqlquery)
starttime = time.clock()
cur.execute(sqlquery)
results = cur.fetchall()
print(str(time.clock() - starttime) + " sec")
print(results)
print(" ")
print("Levenshtein_search algorithm:")
cur.execute("select name from restaurant_nophone_training")
names = cur.fetchall()
namelist = []
for name in names:
namelist.append(name[0])
idx = Levenshtein_search.populate_wordset(-1,namelist)
starttime = time.clock()
results = Levenshtein_search.lookup(idx,query_word,max_dist)
print(str(time.clock() - starttime) + " sec")
print(results)
Levenshtein_search.clear_wordset(idx)
conn.close()
